ArticleArchives of osteoporosis2022
Bibliometric analysis of the top 100 most-cited articles on the treatment of osteoporosis.
Article in Archives of osteoporosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Osteoporosis and Chronic Inflammation: A Global Bibliometric Analysis Between 1994 and 2025.International journal of rheumatic diseases · 2026Article
- Bridging academia and public interest: the impact of Altmetrics on osteoporosis treatment research.Archives of osteoporosis · 2025Article
- Scientometric analysis of global publications on prediabetes and osteoporosis: 1994-2023.Journal of clinical orthopaedics and trauma · 2024Review
- Bibliometric analysis of most cited Peyronie's disease and its management publications.Frontiers in surgery · 2024Article
- Mapping knowledge landscapes and research frontiers of gastrointestinal microbiota and bone metabolism: a text-mining study.Frontiers in cellular and infection microbiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo perform a bibliometric analysis of the top 100 (T100) most-cited articles on the treatment of osteoporosis published between 1980 and 2021 to reveal major developments and trends in the field and to contribute to the methodologies and hypotheses of future studies.
methodsOn 15.12.2021, a search was conducted on the Web of Science database using the keyword "osteoporosis treatment" to screen articles published between 1980 and 2021. The title of the article, year of publication, total number and names of the authors, total number of citations and citation index, name and Q index of the journals, H-index, impact factor, country of authors, types of articles, and sources of funding were recorded.
resultsThe most-cited article was "Osteoporosis Prevention, Diagnosis, And Therapy." The article with the highest citation index was "Clinician's Guide to Prevention and Treatment of Osteoporosis.. The majority of the articles were randomized controlled clinical trials. The journal with the highest number of articles included in the T100 was The New England Journal of Medicine, with 19 articles. The USA had the highest number of articles. There was a strong correlation between the number of citations and citation index of articles (p < 0.001).
conclusionsThis study, which examined the T100 most-cited articles on the treatment of osteoporosis, found that the articles primarily focused on the prevention, diagnosis, and follow-up of osteoporosis; search for antiresorptive and anabolic pharmacological agents; investigation of the efficacy and reliability of these agents on specific subpopulations; and surgical treatment options.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.